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Parametric and nonparametric statistics for single-case design. Regarding nonparametric statistics, the index suggested by Parker, Vannest, Davis and Sauber (2011) <doi:10.1016/j.beth.2010.08.006> was included. It combines both nonoverlap and trend to estimate the effect size of a treatment in a single case design.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.15) |
| Imports: | Kendall |
| Published: | 2018-04-16 |
| Author: | Isabella Giammusso |
| Maintainer: | Isabella Giammusso <isabella.giammusso at unipa.it> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | effectsizescr results |
| Reference manual: | effectsizescr.pdf |
| Package source: | effectsizescr_0.1.0.tar.gz |
| Windows binaries: | r-devel: effectsizescr_0.1.0.zip, r-release: effectsizescr_0.1.0.zip, r-oldrel: effectsizescr_0.1.0.zip |
| macOS binaries: | r-release (arm64): effectsizescr_0.1.0.tgz, r-oldrel (arm64): effectsizescr_0.1.0.tgz, r-release (x86_64): effectsizescr_0.1.0.tgz, r-oldrel (x86_64): effectsizescr_0.1.0.tgz |
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